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Optoelectronic system and device integration for quantum-dot light-emitting diode white lighting with computational design framework
We propose a computational design framework to design the architecture of a white lighting system having multiple pixelated patterns of electric-field-driven quantum dot light-emitting diodes. The quantum dot of the white lighting system has been optimised by a system-level combinatorial colour opti...
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Published in: | Nature communications 2022-08, Vol.13 (1), p.4189-4189, Article 4189 |
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Main Authors: | , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | We propose a computational design framework to design the architecture of a white lighting system having multiple pixelated patterns of electric-field-driven quantum dot light-emitting diodes. The quantum dot of the white lighting system has been optimised by a system-level combinatorial colour optimisation process with the Nelder-Mead algorithm used for machine learning. The layout of quantum dot patterns is designed precisely using rigorous device-level charge transport simulation with an electric-field dependent charge injection model. A theoretical maximum of 97% colour rendering index has been achieved with red, green, cyan, and blue quantum dot light-emitting diodes as primary colours. The white lighting system has been fabricated using the transfer printing technique to validate the computational design framework. It exhibits excellent lighting performance of 92% colour rendering index and wide colour temperature variation from 1612 K to 8903 K with only the four pixelated quantum dots as primary.
Next generation smart lighting requires high colour rendering and wide colour controllability. Here, Jung et al. realise, via a systematic colour optimisation and a computational charge transport simulation, white quantum dot light-emitting diodes with high colour performance. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-022-31853-9 |